Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Limitation in Protein-SIP - Exploring the limits of robust detection of incorporation of 13C by mass spectrometry in protein-based stable isotope probing (protein-SIP)

ABSTRACT: Mass spectra of Ps. fluorescens grown on partially 13C-labeled galactose. Peptide and protein identification of 1-DE bands.

INSTRUMENT(S): LTQ Orbitrap, instrument model

ORGANISM(S): Pseudomonas Fluorescens

SUBMITTER: Martin Taubert

PROVIDER: PRD000456 | Pride | 2014-08-26

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	PRIDE_Exp_Complete_Ac_17770.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_17770.pride.mztab.gz	Mztab
	PRIDE_Exp_Complete_Ac_17770.xml.gz	Xml
	PRIDE_Exp_Complete_Ac_17771.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_17771.pride.mztab.gz	Mztab

Items per page:

1 - 5 of 6

Publications

Exploring the limits of robust detection of incorporation of 13C by mass spectrometry in protein-based stable isotope probing (protein-SIP).

Taubert Martin M Baumann Sven S von Bergen Martin M Seifert Jana J

Analytical and bioanalytical chemistry 20110807 6

One of the features of protein-based stable isotope probing is the parallel identification of differentially labeled peptide forms and the accurate calculation of their relative isotope abundances. The level of incorporation is informative of the metabolic activity of the species that synthesized the said protein and peptide. To model the carbon flux in a microbial community, an accurate assessment is crucial. Since the initial processes in carbon consumption are one of the most interesting obje ...[more]

PMID: 21822970

Similar Datasets

Mock microbial community with spike-ins of 13C-labeled Escherichia coli cells for benchmarking of protein-based stable isotope probing proteomics (Protein-SIP)

Project description:This dataset is part of a study aimed at developing algorithms for the quantification of stable isotope content in microorganisms in microbial communities after labeling them with stable isotope-labeled substrates. For this dataset Escherichia coli cultures were labeled with different percentages (1, 5 and 10%) of fully labeled 13C glucose (13C1-6) and spiked-in into a mock microbial community consisting of 32 species of bacteria, archaea, eukaryote and bacteriophages (UNEVEN Community described in Kleiner et al. 2017 Nat Communications 8(1):1558). The community also contained unlabeled E. coli cells and labeled/unlabeled E. coli cells in the spike-in sample were at a 1:1 ratio. Cultures of E. coli were grown in M9 minimal medium in which a percentage of the glucose was replaced with 13C1-6 glucose for >10 generations to achieve close to complete labeling of cells. The following percentages of 13C1-6 glucose were added 1, 5 and 10%. Triplicate cultures were grown for each percentage. Please note that the unlabeled glucose that was used of course had a natural content of 13C of around 1.1%, thus the 0% added label samples have an actual 13C content of 1.1% and all added label is on top of this value. We included a tab delimited table with this submission providing details on all raw files.

2022-12-30 | PXD024174 | Pride

13C-DNA-SIP Distinguishes the Prokaryotic Community That Metabolizes Soybean Residues Produced Under Different CO2 Concentrations.

Project description:The amendment of crop residues produced under elevated CO2 (eCO2) may alter soil microbial community structure and their functions on residue decomposition and carbon (C) cycling in soil. The key to understanding this process is to elucidate the structure of prokaryotic communities that metabolize crop residues derived from eCO2. A soil incubation experiment was conducted to explore the response of soil microbial community to the amendment of 13C-labeled soybean residues produced under ambient CO2 (aCO2) and eCO2 . The residues were applied to a Mollisol, followed by 13C-DNA stable isotope probing (SIP) and Illumina sequencing on soil prokaryotic community over time. The structure of residue-metabolizing community differed in response to the amendment of eCO2- and aCO2-derived residues after 28 days of incubation. In particular, genera Actinomadura, Nocardia, Non-omuraea, and Shimazuella were the dominant members of the residue-metabolizing bacteria, which contributed to this difference. The relative abundances of genera Actinomadura, Nocardia and Shimazuella were 118-144%, 71-113%, and 2-4-fold higher in the Mollisol amended with aCO2-derived than eCO2-derived residue. In contrast, the relative abundance of Non-omuraea was 87-90% greater in the eCO2-residue treatment. However, during the incubation period, there was no difference between the two residue treatments in the community structure as a whole without SIP. These results implied that a pioneering prokaryotic community metabolized the residue initially prior to the entire community. Those bacteria genera being inhibited with the amendment of the eCO2-derived residue, compared to aCO2-derived residue, were likely preferential to metabolize recalcitrant C, which might be associated with changes of chemical composition of the residue under eCO2.

| S-EPMC6798031 | biostudies-literature

The effect of Iron limitation on the transcriptome and proteome of Pseudomonas fluorescens Pf-5: iron(III) chloride

Project description:Transcriptomic profiling of Pseudomonas fluorescens Pf-5 comparing iron(III) chloride supplemented grown culture against non-iron treated grown culture in M9 minimal media

2011-05-16 | GSE29320 | GEO

The effect of iron limitation on the transcriptome and proteome of Pseudomonas fluorescens Pf-5: iron(II) chloride

Project description:Transcriptomic profiling of Pseudomonas fluorescens Pf-5 comparing iron(II) chloride supplemented grown culture against non-iron treated grown culture in M9 minimal media

2011-05-16 | GSE29319 | GEO

Probing the limits to positional information.

Project description:The reproducibility and precision of biological patterning is limited by the accuracy with which concentration profiles of morphogen molecules can be established and read out by their targets. We consider four measures of precision for the Bicoid morphogen in the Drosophila embryo: the concentration differences that distinguish neighboring cells, the limits set by the random arrival of Bicoid molecules at their targets (which depends on absolute concentration), the noise in readout of Bicoid by the activation of Hunchback, and the reproducibility of Bicoid concentration at corresponding positions in multiple embryos. We show, through a combination of different experiments, that all of these quantities are approximately 10%. This agreement among different measures of accuracy indicates that the embryo is not faced with noisy input signals and readout mechanisms; rather, the system exerts precise control over absolute concentrations and responds reliably to small concentration differences, approaching the limits set by basic physical principles.

| S-EPMC2253670 | biostudies-literature

Mixing of Escherichia coli cells labeled with 13C glucose with unlabeled E. coli cells for benchmarking of protein-based stable isotope probing proteomics (Protein-SIP)

Project description:This dataset is part of a study aimed at developing algorithms for the quantification of stable isotope content in microorganisms after labeling them with stable isotope-labeled substrates. In this dataset Escherichia coli cultures were labeled with different percentages (1% or 10%) of either single-carbon 13C glucose (13C2) or fully-labeled 13C glucose (13C1-6). Labeled cells were subsequently mixed with unlabeled E. coli cells in fixed ratios (50%, 90%, 95%, 99%). Cultures of E. coli were grown in M9 minimal medium in which a percentage of the glucose was replaced with 13C2 or 13C1-6 glucose for >10 generations to achieve close to complete labeling of cells. Triplicate cultures were grown for each percentage. Please note that the unlabeled glucose that was used of course had a natural content of 13C of around 1.1%, thus the 0% added label samples have an actual 13C content of 1.1% and all added label is on top of this value. We included a tab delimited table with this submission providing details on all raw files.

2022-12-30 | PXD024287 | Pride

Tracing incorporation of heavy water into proteins for species-specific metabolic activity in complex communities using protein-based stable isotope probing proteomics (Protein-SIP)

Project description:This dataset was obtained from the authors of Starke et al. (2020, Journal of Proteomics 222: 103791, https://doi.org/10.1016/j.jprot.2020.103791). Sample labels: 1 - High fiber diet inoculum 2 - High protein diet inoculum 3,4,5 - High fiber + unlabeled water 6,7,8 - High protein + unlabeled water 9,10,11 - High fiber + 25% of 99.9 atom% D2O 12,13,14 - High protein + 25% of 99.9 atom% D2O 15,16,17 - High fiber + 25% of 99.0 atom% H218O 18,19,20 - High protein + 25% of 99.0 atom% H218O Direct quote from the original article describing the dataset. “…the impact of specific diets on a defined microbial community derived from a human fecal sample was to be determined. The defined community was chosen to provide a stable in vitro setup that could be useful for future microbiome research. Briefly, the microbial community was grown in a heavy fiber and a heavy protein diet in addition to 25% heavy water, either as D2O or H218O. A dosage of 25% isotopically labeled water was chosen by trial-and-error to yield sufficient incorporation into protein but avoid the reduction of activity of individual organisms. A difference in growth medium formulation, representing a high-fiber diet and a high-protein diet, was utilized to evaluate shifts in microbial activity. We chose to assess these diets because high-protein, low-carbohydrate interventions represent a popular weight-loss strategy and because we expected a strong effect on the synthesis of amino acids by this comparison. After an incubation time of 12 h, the proteins were analyzed for label-free quantitation (metaproteomics) and incorporation of isotopes (protein-SIP), each in triplicates….”

2022-12-30 | PXD024291 | Pride

Flow-through stable isotope probing (Flow-SIP) minimizes cross-feeding in complex microbial communities.

Project description:Stable isotope probing (SIP) is a key tool for identifying the microorganisms catalyzing the turnover of specific substrates in the environment and to quantify their relative contributions to biogeochemical processes. However, SIP-based studies are subject to the uncertainties posed by cross-feeding, where microorganisms release isotopically labeled products, which are then used by other microorganisms, instead of incorporating the added tracer directly. Here, we introduce a SIP approach that has the potential to strongly reduce cross-feeding in complex microbial communities. In this approach, the microbial cells are exposed on a membrane filter to a continuous flow of medium containing isotopically labeled substrate. Thereby, metabolites and degradation products are constantly removed, preventing consumption of these secondary substrates. A nanoSIMS-based proof-of-concept experiment using nitrifiers in activated sludge and 13C-bicarbonate as an activity tracer showed that Flow-SIP significantly reduces cross-feeding and thus allows distinguishing primary consumers from other members of microbial food webs.

| S-EPMC7852690 | biostudies-literature

Probing the ultimate limits of plasmonic enhancement.

Project description:Metals support surface plasmons at optical wavelengths and have the ability to localize light to subwavelength regions. The field enhancements that occur in these regions set the ultimate limitations on a wide range of nonlinear and quantum optical phenomena. We found that the dominant limiting factor is not the resistive loss of the metal, but rather the intrinsic nonlocality of its dielectric response. A semiclassical model of the electronic response of a metal places strict bounds on the ultimate field enhancement. To demonstrate the accuracy of this model, we studied optical scattering from gold nanoparticles spaced a few angstroms from a gold film. The bounds derived from the models and experiments impose limitations on all nanophotonic systems.

| S-EPMC3649871 | biostudies-literature

Detection of 2,4,6-trinitrotoluene-utilizing anaerobic bacteria by 15N and 13C incorporation.

Project description:2,4,6-Trinitrotoluene ((15)N or (13)C labeled) was added to Norfolk Harbor sediments to test whether anaerobic bacteria use TNT for growth. Stable-isotope probing (SIP)-terminal restriction fragment length polymorphism (TRFLP) detected peaks in the [(15)N]TNT cultures (60, 163, and 168 bp). The 60-bp peak was also present in the [(13)C]TNT cultures and was related to Lysobacter taiwanensis.

| S-EPMC2832382 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data